Abstract
Cloud platforms usually need to collect privacy data from a large number of users. Although the existing methods of privacy protection for cloud data can protect users’ privacy data to a certain degree, there is plenty of room for improvement in efficiency and degree of privacy protection. Negative survey spired by Artificial Immune System (AIS) collects each user’s unreal privacy information to protect users’ privacy. This study focuses on the accuracy of the reconstructed positive survey from negative survey, which is one of the key problems in the Negative Survey-based privacy protection of cloud data.
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Liu, R., Tang, S. (2015). Negative Survey-Based Privacy Protection of Cloud Data. In: Tan, Y., Shi, Y., Buarque, F., Gelbukh, A., Das, S., Engelbrecht, A. (eds) Advances in Swarm and Computational Intelligence. ICSI 2015. Lecture Notes in Computer Science(), vol 9141. Springer, Cham. https://doi.org/10.1007/978-3-319-20472-7_17
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DOI: https://doi.org/10.1007/978-3-319-20472-7_17
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